AC584 Report
Second Semester R Studio Assignment
Introduction
Welcome to my report. I have created this report to investigate the data provided to me from Unicef regarding Anaemia infection rates and more general statistics like GDP, Life Expectancy and Population.
Anaemia Infection Rates Map
This Map shows us the anaemia infection rates of the given countries.
I utilised the scale fill gradient code in order to enable me to create a gradient which highlights the change in the infection rates in the different countries
This link is where I have received my datasets from
^1: If you hover over one country it will tell you the infection rate for that country.
Evolution of Life Expectancy Per Continent
This time series visualisation enables us to see the progression in life expectancy in the different continents over decades.
Each continent is linked to a colour as follows: Asia, Europe, Africa, Americas, Oceania
^1: If you click on the continent in the legend it will remove that continent from the visualisation
^2: If you double click on one continent in the legend it will highlight that continent.
Continental Scatter Plots
This visualisation enables us to see the relationship between GDP and Life Expectancy in each continent
Benefits of this Visualisation
- Continental Comparison
- Colour Co-Ordination with Time Series
- Use of Facet Wrap
Population Bar Charts 1961 v 2021
These bar charts enable us to see the growth in population of the five continents over the 60 year period from 1961-2021
This first graph shows us the total population per continent in 1961
Notice how the Y-axis has drastically increased in value over the 60 years.
This second graph shows us the total population per continent in 2021
Similarly to the first graph, the continent with the highest population is Asia.
However the continent which has seen the biggest increase in their population is Africa.
Conclusion
Thank you for taking the time to engage with my report. I hope you found it engaging and interesting.